5 papers · 1 filter
PAMI: Part Anchored Motion for Text to Human-Object Interaction Generation
Chuqiao Li, Xianghui Xie, Yong Cao +2
Text-conditioned full-body human-object interaction (HOI) generation requires synthesizing human motion and object trajectories that match the input text while remaining precisely…
NextMotionQA: Benchmarking and Judging Human Motion Understanding with Vision-Language Models
Yong Cao, Chuqiao Li, Xianghui Xie +2
Reliable evaluation of human motion understanding is fundamental to advancing embodied AI, robotics, and animation. However, existing benchmarks suffer from coarse semantic granula…
Shot-Aware Frame Sampling for Video Understanding
Mengyu Zhao, Di Fu, Yongyu Xie +4
Video frame sampling is essential for efficient long-video understanding with Vision-Language Models (VLMs), since dense inputs are costly and often exceed context limits. Yet when…
FrankenMotion: Part-level Human Motion Generation and Composition
Chuqiao Li, Xianghui Xie, Yong Cao +2
Human motion generation from text prompts has made remarkable progress in recent years. However, existing methods primarily rely on either sequence-level or action-level descriptio…
RB-FT: Rationale-Bootstrapped Fine-Tuning for Video Classification
Meilong Xu, Di Fu, Jiaxing Zhang +7
Vision Language Models (VLMs) are becoming increasingly integral to multimedia understanding; however, they often struggle with domain-specific video classification tasks, particul…